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Cox proportional hazards model

Six Types of Survival Analysis and Challenges in Learning Them

by Karen Grace-Martin  1 Comment

Survival analysis isn’t just a single model.

It’s a whole set of tests, graphs, and models that are all used in slightly different data and study design situations. Choosing the most appropriate model can be challenging.

In this article I will describe the most common types of tests and models in survival analysis, how they differ, and some challenges to learning them.

[Read more…] about Six Types of Survival Analysis and Challenges in Learning Them

Tagged With: Censoring, competing risk model, Cox proportional hazards model, discrete time, Event History Analysis, frailty model, Kaplan-Meier curve, log rank test, parametric models, Survival Analysis, survival functions

Related Posts

  • Member Training: Cox Regression
  • What is Survival Analysis and When Can It Be Used?
  • Member Training: Discrete Time Event History Analysis
  • How to Set up Censored Data for Event History Analysis

Member Training: Cox Regression

by guest contributer  1 Comment

When you have data measuring the time to an event, you can examine the relationship between various predictor variables and the time to the event using a Cox proportional hazards model.

In this webinar, you will see what a hazard function is and describe the interpretations of increasing, decreasing, and constant hazard. Then you will examine the log rank test, a simple test closely tied to the Kaplan-Meier curve, and the Cox proportional hazards model.


Note: This training is an exclusive benefit to members of the Statistically Speaking Membership Program and part of the Stat’s Amore Trainings Series. Each Stat’s Amore Training is approximately 90 minutes long.

 

[Read more…] about Member Training: Cox Regression

Tagged With: Censoring, Cox proportional hazards model, discrete time, Event History Analysis, hazard function, Kaplan-Meier curve, logistic regression, Survival Analysis, Time to Event

Related Posts

  • Member Training: Discrete Time Event History Analysis
  • Six Types of Survival Analysis and Challenges in Learning Them
  • What is Survival Analysis and When Can It Be Used?
  • Censoring in Time-to-Event Analysis

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